Accurate whole human genome sequencing using reversible terminator chemistry

Genome-wide identification, evolution, and expression analysis of the bone morphogenetic protein gene family in Myxocyprinus asiaticus

Bone morphogenetic proteins (BMPs) are important growth factors belonging to the TGF-β superfamily. These factors not only play a vital role in skeleton formation in young fish but also regulate the morphological development of M. asiaticus, with Group II genes regulating morphology mainly during the juvenile stage. This study investigated how BMP genes regulate Myxocyprinus asiaticus development and function and explored the role of the BMP family in fish morphological development. In this study, 43 BMPs were identified and classified into five groups: BMP1/3/11/15 (Group I), BMP12/13/14 (Group II), BMP2/4/16 (Group III), BMP9/10 (Group IV), and BMP5/6/7/8 (Group V). Analyses of the gene structures and conserved motifs revealed the conservation of the BMP gene family in M. asiaticus. In M. asiaticus, gene fragmentation, duplication, and 4R whole-genome duplication events contributed to BMP gene family expansion. Furthermore, expression pattern analysis and qRT-PCR revealed that changes in M. asiaticus BMP gene expression during different developmental stages were due to body size alterations, highlighting the major impact of the BMP gene on body size variation in this species. Our study provides fundamental data for investigating the morphological development of M. asiaticus and lays the framework for understanding the genetic mechanisms of body size variation in scleractinian fishes, with potential applications in the artificial breeding and conservation of M. asiaticus.

Compatibility of whole-genome sequencing data from Illumina and Ion Torrent technologies in genome comparison analysis of Listeria monocytogenes

Whole-genome sequencing (WGS) has become the key approach for molecular surveillance of Listeria monocytogenes. Genome comparison analysis can reveal transmission routes that cannot be found with classic epidemiology. A widespread standard for use in genome comparison analysis involves data from short-read sequencing, generated on Illumina or Ion Torrent devices. To date, little is known about the compatibility of data from both platforms. This knowledge is essential when it comes to the central analysis of data, for example, in the case of outbreaks. We used WGS data from 47 L. monocytogenes isolates of the strain collection of the German National Reference Laboratory for L. monocytogenes, generated on either Illumina or Ion Torrent devices, to analyse the impact of the sequencing technology on downstream analyses. In our study, only the assembler SPAdes delivered qualitatively comparable results. In the gene-based core genome multilocus sequence typing (cgMLST), the same-strain allele discrepancy between the platforms was 14.5 alleles on average, which is well above the threshold of 7 alleles routinely used for cluster detection in L. monocytogenes. An application of a strict frameshift filter in cgMLST analysis could push the mean discrepancy below this threshold but reduced discriminatory power. The impact of the platform on the read-based single nucleotide polymorphism analysis was lower than that on the cgMLST. Overall, it was possible to improve compatibility in various ways, but perfect compatibility could not be achieved.

Analytical techniques for nucleic acid and protein detection with single-molecule sensitivity

Nucleic acids and proteins serve as crucial biomarkers used in the diagnosis, prognosis and therapy monitoring across various diseases. Traditionally, these biomarkers are identified at an ensemble level following the amplification of target or signaling molecules. However, these methods have limitations in addressing contemporary challenges in molecular diagnostics, such as low sensitivity, specificity, throughput and imprecise quantification. To overcome these limitations, various analytical techniques offering single-molecule sensitivity have been developed. Here we aim to provide a concise overview of historically notable and potentially promising analytical techniques to detect nucleic acids and proteins with single-molecule sensitivity. Our focus is on their potential in liquid biopsy, delineating their strengths and weaknesses, providing insights into their ability to revolutionize biomarker analysis and paving the way for more advanced technologies.

The Genomics Revolution in Nonmodel Species: Predictions vs. Reality for Salmonids

The increasing feasibility of whole-genome sequencing has been highly anticipated, promising to transform our understanding of the biology of nonmodel species. Notably, dramatic cost reductions beginning around 2007 with the advent of high-throughput sequencing inspired publications heralding the 'genomics revolution', with predictions about its future impacts. Although such predictions served as useful guideposts, value is added when statements are evaluated with the benefit of hindsight. Here, we review 10 key predictions made early in the genomics revolution, highlighting those realised while identifying challenges limiting others. We focus on predictions concerning applied aspects of genomics and examples involving salmonid species which, due to their socioeconomic and ecological significance, have been frontrunners in applications of genomics in nonmodel species. Predicted outcomes included enhanced analytical power, deeper insights into the genetic basis of phenotype and fitness variation, disease management and breeding program advancements. Although many predictions have materialised, several expectations remain unmet due to technological, analytical and knowledge barriers. Additionally, largely unforeseen advancements, including the identification and management applicability of large-effect loci, close-kin mark-recapture, environmental DNA and gene editing have added under-anticipated value. Finally, emerging innovations in artificial intelligence and bioinformatics offer promising new directions. This retrospective evaluation of the impacts of the genomic revolution offers insights into the future of genomics for nonmodel species.

Meta-analysis and review of in silico methods in drug discovery - part 1: technological evolution and trends from big data to chemical space

This review offers an overview of advanced in silico methods crucial for drug discovery, emphasizing their integration with data science, and investigates the effectiveness of data science, machine learning, and artificial intelligence via a thorough meta-analysis of existing technologies. This meta-analysis aims to rank these technologies based on their applications and accessibility of knowledge. Initially, a search strategy yielded 900 papers, which were then refined into two subsets: the top 300 most-cited papers since 2000 and papers selected for systematic review based on high impact. From these, 97 articles were identified for discussion, categorized by their influence on society. The focus remains on the qualitative impact of these disciplines rather than solely on metrics like new drug approvals. Ultimately, the review underscores the role of big data in enhancing our comprehension of drug candidate trajectories from development to commercialization, utilizing information stored in publicly available databases to chemical space. Graphical extrapolation of some keywords (Drug Discovery; Big Data; Database; Metadata) discussed in this article and their evolution (in terms of absolute items that are available) by time.

Assessing the virological response to direct-acting antiviral therapies in the HBV cure programme

Hepatitis B virus (HBV) is a global health problem with over 250 million people affected worldwide. Nucleos(t)ide analogues remain the standard of care and suppress production of progeny virions; however, they have limited effect on the viral transcriptome and long-term treatment is associated with off-target toxicities. Promising results are emerging from clinical trials and several drug classes have been evaluated, including capsid assembly modulators and RNA interfering agents. Whilst peripheral biomarkers are used to monitor responses and define treatment endpoints, they fail to reflect the full reservoir of infected hepatocytes. Given these limitations, consideration should be given to the merits of sampling liver tissue, especially in the context of clinical trials. In this review article, we will discuss methods for profiling HBV in liver tissue and their value to the HBV cure programme.

Phylogenetics and population structure of the western North American endemic Pacific Laurasian clade of Isoëtes

PREMISE

Isoëtes is a genus of small, semi-woody, hydrophilic, heterosporous lycophytes with a cosmopolitan, global distribution. However, local populations tend to be found in narrow, patchy, and highly fragmented mesic to aquatic habitats, many of which are currently under threat. In this study, we sought to uncover how this patchy distribution has affected the evolutionary history of one of the two lineages of Isoëtes found on the West Coast of North America-the Pacific Laurasian clade (PLC).

METHODS

We used a combination of population genetic and multilocus molecular phylogenetic approaches to infer the relationships among the three described species in this clade and to determine the degree of isolation among the sampled populations.

RESULTS

We discovered that the populations studied are highly structured and that two of the species, as currently circumscribed, are not monophyletic. Instead, our phylogenetic results suggest that there are at least eight distinct "species-level" clades within the PLC. Of these eight, five appear to have been the result of a rapid radiation.

CONCLUSIONS

Our results suggest that the existing taxonomy does not reflect the actual diversity in the PLC and warrants further investigation.

Translational Advances in Oncogene and Tumor-Suppressor Gene Research

Cancer, characterized by the uncontrolled proliferation of cells, is one of the leading causes of death globally, with approximately one in five people developing the disease in their lifetime. While many driver genes were identified decades ago, and most cancers can be classified based on morphology and progression, there is still a significant gap in knowledge about genetic aberrations and nuclear DNA damage. The study of two critical groups of genes-tumor suppressors, which inhibit proliferation and promote apoptosis, and oncogenes, which regulate proliferation and survival-can help to understand the genomic causes behind tumorigenesis, leading to more personalized approaches to diagnosis and treatment. Aberration of tumor suppressors, which undergo two-hit and loss-of-function mutations, and oncogenes, activated forms of proto-oncogenes that experience one-hit and gain-of-function mutations, are responsible for the dysregulation of key signaling pathways that regulate cell division, such as p53, Rb, Ras/Raf/ERK/MAPK, PI3K/AKT, and Wnt/β-catenin. Modern breakthroughs in genomics research, like next-generation sequencing, have provided efficient strategies for mapping unique genomic changes that contribute to tumor heterogeneity. Novel therapeutic approaches have enabled personalized medicine, helping address genetic variability in tumor suppressors and oncogenes. This comprehensive review examines the molecular mechanisms behind tumor-suppressor genes and oncogenes, the key signaling pathways they regulate, epigenetic modifications, tumor heterogeneity, and the drug resistance mechanisms that drive carcinogenesis. Moreover, the review explores the clinical application of sequencing techniques, multiomics, diagnostic procedures, pharmacogenomics, and personalized treatment and prevention options, discussing future directions for emerging technologies.

Bipartite trophic levels cannot resist the interference of microplastics: A case study of submerged macrophytes and snail

Some studies frequently focus on the toxic effects of compound pollution formed by microplastics and other pollutants on individual organisms, but it is still unclear how multi-trophic level organisms in compound communities resist the stress of microplastics. Thus, this research used a dose-response experiment (0, 0.1, 0.2, 0.5, 1 mg L-1) to illustrate the influences that microplastics might have on two symbiotic freshwater organisms Vallisneria natans and Sinotaia quadrata. The results showed the reduction of V. natans biomass in 0.5 and 1 mg L-1 groups (28-38 %), and disturbances on the photosynthetic system, reduced the chlorophyll content (15-85 %) and maximum quantum yields (10-31 %). In the case of S. quadrata, which subsisted by scraping leaf biofilms, there was a disruption in the functioning of the antioxidant system. Concurrently, the activities of digestive and neurotransmitter enzymes were affected, potentially leading to detrimental impacts on the organism's essential physiological processes. The introduction of microplastics significantly enhanced the relative abundance of specific microbial taxa, such as Proteobacteria within the biofilm of V. natans leaves and chloroflexi in the rhizosphere, thereby altering the microbial community assembly process. This means the potential ecological functions with microbes as the carrier was influenced. These results indicated that microplastic in aquatic environments can impact the metabolism, autotrophic, and heterotrophic behavior of double-end trophic organisms through symbiotic activities. Therefore, our study reveals how polystyrene microplastics affect the growth of submerged aquatic plants and snails, and from the perspective of community integrity and health, the introduction of these pollutants into freshwater environments may cause disruptive effects.

Effect of Porphyromonas Gingivalis Infection on Epithelial Rests of Malassez

The epithelial cell rests of Malassez (ERM) are located within the periodontal ligament. They are reportedly involved in maintaining homeostasis, particularly with regards to the thickness of the periodontal ligament. Their role in apical periodontitis lesions remains unclear, however. This study investigated the response of ERM to infection with Porphyromonas gingivalis. After being infected, the morphology of the P. gingivalis-infected cells was observed using confocal laser-scanning microscopy. The gene expression of P. gingivalis-infected and uninfected cells was investigated by RNA-sequencing analysis. Morphological observation showed the invasion and adhesion of P. gingivalis to the surface of ERM. The RNA analysis showed that the gene expression profile significantly differed between the infected and uninfected cells. At an expression level of ≥2 and false discovery rate of <0.1, the infected cells showed a decrease in 99 genes and an increase in 6 compared with in the non-infected cells. Most of the upregulated genes were unique to epithelial cells, such as endothelial cell-specific molecules and cytokeratin 5; the upregulated genes were associated with the immune response, however. These results indicate that ERM upregulate genes associated with epithelial cells and suppress those associated with the immune response following P. gingivalis infection.

Benchmarking strategies for CNV calling from whole genome bisulfite data in humans

It's important to dissect the relationship between copy number variations (CNVs) and DNA methylation, because both greatly change the dosages of genes and are responsible for diverse human cancers. Although whole genome bisulfite sequencing (WGBS) informs CNVs and DNA methylation, no study has provided a systematic benchmark for detecting CNVs from WGBS data. Herein, based on simulated and real WGBS datasets of 84.62 billion reads, we undertook 714 CNV detections to comprehensively benchmark the performance of 35 strategies, 5 alignment algorithms (bismarkbt2, bsbolt, bsmap, bwameth, and walt) wrapping with 7 CNV detection applications (BreakDancer, cn.mops, CNVkit, CNVnator, DELLY, GASV and Pindel). The results highlighted a subset of strategies that accurately called CNVs depending on numbers, lengths, precision, recall, and F1 scores of CNV detections. We found that bwameth-DELLY and bwameth-BreakDancer were the best strategies for calling deletions, and walt-CNVnator and bismarkbt2-CNVnator were the best strategies for calling duplications. These works provided investigators with useful information to accurately explore CNVs from WGBS data in humans.

Design and synthesis of fluorescent-dye-labeled nucleotide with a new cleavable azo linker for DNA sequencing by synthesis

A new cleavable azo linker was synthesized and reacted with 5-iodo-2'-deoxyuridine, followed by triphosphorylation, and finally labeled with Cy3 to give the desired product dUTP-azo linker-Cy3 as a potential reversible terminator for DNA sequencing. The synthesized 3'-OH-unblocked nucleotide triphosphate can be faithfully incorporated into the DNA strands as catalyzed by DNA polymerase (Bst 3.0) with 100% yield. Meanwhile, further incorporation is terminated temporarily by the overall steric hindrance of the nucleotide triphosphate, ensuring that only one molecule can be incorporated into the DNA strand within one sequencing cycle even for a template containing multiple identical bases in a row. The next incorporation can proceed smoothly upon complete removal of the labeled dye with only aniline left on the elongated DNA strand. The synthesized nucleotide triphosphate is the first reversible terminator that can be considered crucial for DNA sequening. These preliminary evaluations indicate that the synthesized nucleotide triphosphate holds substantial potential value in DNA sequencing.

Enhancing clinical research with pharmacogenomics: a practical perspective

Pharmacogenomics (PGx) is transforming therapeutic development by providing insights into how genetic variations influence drug response, safety, and efficacy. This review provides a structured analysis of PGx in clinical research, beginning with an overview of key genes involved in drug metabolism, transport, and targets. Following this, it examines strategies for identifying PGx-relevant genes, including phenotype-driven, hypothesis-driven, population-focused, and clinical-driven approaches. Technical platforms such as PCR, MassARRAY, and next-generation sequencing are analyzed for their suitability in PGx studies. The discussion then shifts to assay validation processes, covering both analytical and clinical validation, to ensure data reliability in clinical trials. Finally, regulatory expectations for PGx in clinical trials are discussed, focusing on key requirements across all phases of drug development. This review aims to provide a clear and practical framework for integrating PGx into clinical research to enhance drug safety, efficacy, and personalized medicine.

The effect of commonly employed forensic DNA extraction protocols on ssDNA/dsDNA proportion and DNA integrity

The utilisation of massively parallel sequencing (MPS) in forensic DNA analysis is on the rise, driven by the expansion of targeted MPS panels in the market and the introduction of forensic investigative genetic genealogy. The MPS library preparation process, integral to both whole-genome sequencing (WGS) and targeted MPS panel data generation, is largely based on converting double-stranded DNA (dsDNA) into sequencing libraries. In the current study, we examined the effect of seven routinely used forensic DNA extraction methods on the strandedness (single-stranded or double-stranded) and the fragment size of the DNA extracted from buccal swab, blood, bone and tooth samples. Our findings reveal a variation in the proportion of dsDNA and single-stranded DNA (ssDNA), with the phenol-chloroform and silica column-based extraction methods tested predominantly yielding dsDNA, while the tested Chelex and magnetic bead-based extraction methods predominantly yielded ssDNA. Additionally, fragment size analysis showed that high molecular weight dsDNA was recovered from buccal swab samples with all of the extraction methods except Chelex, which yielded relatively short dsDNA fragments. DNA extracted from tooth samples with tested magnetic bead-based extraction methods resulted in longer dsDNA fragments compared to the silica column-based extraction protocol.

DNA damage response regulator ATR licenses PINK1-mediated mitophagy

Defective DNA damage response (DDR) and mitochondrial dysfunction are a major etiology of tissue impairment and aging. Mitochondrial autophagy (mitophagy) is a mitochondrial quality control (MQC) mechanism to selectively eliminate dysfunctional mitochondria. ATR (ataxia-telangiectasia and Rad3-related) is a key DDR regulator playing a pivotal role in DNA replication stress response and genomic stability. Paradoxically, the human Seckel syndrome caused by ATR mutations exhibits premature aging and neuropathies, suggesting a role of ATR in nonreplicating tissues. Here, we report a previously unknown yet direct role of ATR at mitochondria. We find that ATR and PINK1 (PTEN-induced kinase 1) dock at the mitochondrial translocase TOM/TIM complex, where ATR interacts directly with and thereby stabilizes PINK1. ATR deletion silences mitophagy initiation thereby altering oxidative phosphorylation functionality resulting in reactive oxygen species overproduction that attack cytosolic macromolecules, in both cells and brain tissues, prior to nuclear DNA. This study discloses ATR as an integrated component of the PINK1-mediated MQC program to ensure mitochondrial fitness. Together with its DDR function, ATR safeguards mitochondrial and genomic integrity under physiological and genotoxic conditions.

Assessment of the Histone Mark-based Epigenomic Landscape in Human Myometrium at Term Pregnancy

The myometrium plays a critical role during pregnancy as it is responsible for both the structural integrity of the uterus and force generation at term. Emerging studies in mice indicate a dynamic change of the myometrial epigenome and transcriptome during pregnancy to ready the contractile machinery for parturition. However, the regulatory systems underlying myometrial gene expression patterns throughout gestation remain largely unknown. Here we investigated human term pregnant nonlabor myometrial biopsies for transcriptome, enhancer histone mark cistrome, and chromatin conformation pattern mapping. More than thirty-thousand putative enhancers with H3K27ac and H3K4me1 double positive marks were identified in the myometrium. Enriched transcription factor binding motifs include known myometrial regulators AP-1, STAT, NFkB, and PGR among others. Putative myometrial super enhancers are mostly colocalized with progesterone receptor occupying sites and preferentially associated with highly expressing genes, suggesting a conserved role of PGR in regulating the myometrial transcriptome between species. In human myometrial specimens, inferred PGR activities are positively correlated with phospholipase C like 2 (PLCL2) mRNA levels, supporting that PGR may act through this genomic region to promote PLCL2 expression. PGR overexpression facilitated PLCL2 gene expression in myometrial cells. Using CRISPR activation, we assessed the functionality of a PGR putative enhancer 35-kilobases upstream of the contractile-restrictive gene PLCL2. In summary, results of this study serve as a resource to study gene regulatory mechanisms in the human myometrium at the term pregnancy stage for further advancing women's health research.

Sequencing of d/l-DNA and XNA by Templated-Synthesis

Progress in oligonucleotide sequencing has transformed modern biology and medicine. Here we report a fast and efficient enzyme-free primer extension of PNA with reversible chain termination and its application to DNA and XNA sequencing. The approach leverages activated 4-mer PNAs that react in a templated ligation reaction at μM concentrations within minutes. We demonstrate that the fidelity of this enzyme-free primer extension benefits from reactions performed with a mixture of activated PNAs where every 4-mer has its self-complementary 4-mer. The reactions can be performed using the whole repertoire of 4-mers (256 permutations) in a parallelized manner. Using a primer in combination with its -1, -2, and -3 deletion allows for sequencing by MALDI analysis, using the increment in mass for each nucleobase assignment. Given the enzyme-free nature of this sequencing and the achiral nature of PNA, we further demonstrate that the technology can be used to sequence d- or l-DNA as well as LNA and PNA (XNA).

Data Readout Techniques for DNA-Based Information Storage

DNA is a natural chemical substrate that carries genetic information, which also serves as a powerful toolkit for storing digital data. Compared to traditional storage media, DNA molecules offer higher storage density, longer lifespan, and lower maintenance energy consumption. In DNA storage process, data readout is a critical step that bridges the gap between DNA molecular/structures with stored digital information. With the continued development of strategies in DNA data storage technology, the readout techniques have evolved. However, there is a lack of systematic introduction and discussion on the readout techniques for reported DNA data storage systems, especially the correlation between the design of the data storage system and the corresponding selection of readout techniques. This review first introduces two main categories of DNA data storage units (i.e., sequence and structure) and their corresponding readout techniques (i.e., sequencing and nonsequencing methods), and then reviewed representative examples of notable advancements in DNA data storage technology, focusing on data storage unit design, and readout technique selection. It also introduces emerging approaches to assist data readout techniques, such as implementation of microfluidic and fluorescent probes. Finally, the paper discusses the limitations, challenges, and potential of DNA data readout approaches.

Novel PKD1 Mutation (c.G10086T) Drives High Intracranial Aneurysm Risk in Autosomal Dominant Polycystic Kidney Disease

BACKGROUND

Autosomal dominant polycystic kidney disease (ADPKD) is frequently complicated by intracranial aneurysms (IAs). However, the genetic factors driving the elevated IA risk in ADPKD remain poorly understood. In this study, we identified a novel PKD1 mutation associated with a remarkably high IA incidence in a large Chinese ADPKD family.

METHODS

We conducted whole-exome sequencing in a three-generation Chinese ADPKD family (n = 24) characterized by an unusually high IA prevalence. The pathogenicity of the identified PKD1 variant was validated through comprehensive functional studies, including protein localization, calcium signaling, and endothelial cell behavior analyses.

RESULTS

We discovered a novel PKD1 mutation (c.G10086T) that co-segregated with disease in all affected family members. Notably, 38.1% (8/21) of the mutation carriers developed IAs, a significantly higher rate than reported in general ADPKD populations (4%-11.5%). Functional studies revealed that this mutation disrupted polycystin-1 trafficking and impaired calcium signaling, leading to endothelial dysfunction. In vitro experiments demonstrated enhanced angiogenic potential and compromised vascular integrity in cells expressing mutant PKD1.

CONCLUSIONS

The newly identified PKD1:c.G10086T mutation represents a high-risk genetic variant for IA development in ADPKD. Our findings provide new insights into the vascular complications of ADPKD and suggest that PKD1 genotyping may help identify patients requiring intensive IA surveillance. This study supports the development of mutation-specific screening strategies for ADPKD-associated vascular complications.

Homospermidine synthase evolution and the origin(s) of pyrrolizidine alkaloids in Apocynaceae

PREMISE

Enzymes that are encoded by paralogous genes and produce identical specialized metabolites in distantly related plant lineages are strong evidence of parallel phenotypic evolution. Inference of phenotypic homology for metabolites produced by orthologous genes is less straightforward, since orthologs may be recruited in parallel into novel pathways. In prior research on pyrrolizidine alkaloids (PAs), specialized metabolites of Apocynaceae, the evolution of homospermidine synthase (HSS), an enzyme of PA biosynthesis, was reconstructed and a single origin of PAs inferred because HSS enzymes of all known PA-producing Apocynaceae species are orthologous and descended from an ancestral enzyme with the motif (VXXXD) of an optimized HSS.

METHODS

We increased sampling, tested the effect of amino acid motif on HSS function, revisited motif evolution, and tested for selection to infer evolution of HSS function and its correlation with phenotype.

RESULTS

Some evidence supports a single origin of PAs: an IXXXD HSS-like gene, similar in function to VXXXD HSS, evolved in the shared ancestor of all PA-producing species; loss of HSS function occurred multiple times via pseudogenization and perhaps via evolution of an IXXXN motif. Other evidence indicates multiple origins: the VXXXD motif, highly correlated with the PA phenotype, evolved two or four times independently; the ancestral IXXXD gene was not under positive selection, while some VXXXD genes were; and substitutions at sites experiencing positive selection occurred on multiple branches in the HSS-like gene tree.

CONCLUSIONS

The complexity of the genotype-function-phenotype map confounds the inference of PA homology from HSS-like gene evolution in Apocynaceae.

Comparison of Illumina and Oxford Nanopore sequencing data quality for Clostridioides difficile genome analysis and their application for epidemiological surveillance

BACKGROUND

The burden of Clostridioides difficile as a nosocomial- and community-acquired pathogen has been increasing over the recent decades, including reports of severe outbreaks. Molecular and virulence genotyping are central for the epidemiological surveillance of this pathogen, but need to balance accuracy and rapid turnaround time of the results. While Illumina short-read sequencing has been adopted as the gold standard to investigate C. difficile virulence and transmission routes, little is known about the potential of Nanopore long-read sequencing in this field. The goal of our study was to compare sequencing and assembly quality of 37 C. difficile isolates using Illumina (SPAdes assembled) and Nanopore (Flye and Unicycler assembled) data alone, along with hybrid assemblies obtained with short-read polishing of long reads.

RESULTS

Illumina sequencing produced reads with an average quality of 99.68% (Q25), while Nanopore sequencing produced reads reaching an average quality of 96.84% (Q15), showing a tenfold difference in quality. Sequence type (ST) designation from Nanopore assemblies failed to detect ST5, ST7, ST8, ST13 and ST49, while ST designation based on unpolished Nanopore reads using Krocus was successful for all STs. Nanopore sequences exhibited an average of 640 base errors per genome (~ 0.015% substitution rate), which was reflected by the incorrect assignment of over 180 alleles in core genome multilocus sequence typing (cgMLST) analysis. As a result, Nanopore-derived phylogenies were not as accurate as the Illumina reference, and therefore inadequate for precise investigation of transmission events. Both sequencing platforms provided comparable, satisfactory results for the detection of virulence genes tcdA, tcdB, cdtAB and in-frame deletions in tcdC.

CONCLUSION

Compared to Illumina, Nanopore has higher error rate, which limits its application for high-resolution epidemiological surveillance. However, the short analysis time, lower cost and more simple procedure combined with correctly identified STs and virulence genes, makes it an alternative when fast and less detailed analyses are preferred.

Recent Advances in Biocatalytic and Chemoenzymatic Synthesis of Oligonucleotides

Access to synthetic oligonucleotides is crucial for applications in diagnostics, therapeutics, synthetic biology, and nanotechnology. Traditional solid phase synthesis is limited by sequence length and complexities, low yields, high costs and poor sustainability. Similarly, polymerase-based approaches such as in vitro transcription and primer extension reactions do not permit any control on the positioning of modifications and display poor substrate tolerance. In response, biocatalytic and chemoenzymatic strategies have emerged as promising alternatives, offering selective and efficient pathways for oligonucleotide synthesis. These methods leverage the precision and efficiency of enzymes to construct oligonucleotides with high fidelity. Recent advancements have focused on optimized systems and/or engineered enzymes enabling the incorporation of chemically modified nucleotides. Biocatalytic approaches, particularly those using DNA/RNA polymerases provide advantages in milder reaction conditions and enhanced sustainability. Chemoenzymatic methods, combining chemical synthesis and enzymes, have proven to be effective in overcoming limitations of traditional solid phase synthesis. This review summarizes recent developments in biocatalytic and chemoenzymatic strategies to construct oligonucleotides, highlighting innovations in enzyme engineering, substrate and reaction condition optimization for various applications. We address crucial details of the methods, their advantages, and limitations as well as important insights for future research directions in oligonucleotide production.

Understanding Genetic Screening: Harnessing Health Information to Prevent Disease Risks

Genetic screening analyzes an individual's genetic information to assess disease risk and provide personalized health recommendations. This article introduces the public to genetic screening, explaining its definition, principles, history, and common types, including prenatal, newborn, adult disease risk, cancer, and pharmacogenetic screening. It elaborates on the benefits of genetic screening, such as early risk detection, personalized prevention, family risk assessment, and reproductive decision-making. The article also notes limitations, including result interpretation uncertainty, psychological and ethical issues, and privacy and discrimination risks. It provides advice on selecting suitable screening, consulting professionals, choosing reliable institutions, and understanding screening purposes and limitations. Finally, it discusses applying screening results through lifestyle adjustments, regular check-ups, and preventive treatments. By comprehensively introducing genetic screening, the article aims to raise public awareness and encourage utilizing this technology to prevent disease and maintain health.

Complete genome of Nanosynbacter sp. strain BB002, isolated and cultivated from a site of periodontal disease

Nanosynbacter sp. strain BB002, was isolated from the human oral cavity on its basibiont bacterial host Actinomyces sp. oral taxon 171 strain F0337, related to Actinomyces oris. As a member of the Saccharibacteria within the candidate phylum radiation group (CPR), its reduced genome facilitates the survival as an ultrasmall (<0.2 μm) epibiont.

TopoQual polishes circular consensus sequencing data and accurately predicts quality scores

BACKGROUND

Pacific Biosciences (PacBio) circular consensus sequencing (CCS), also known as high fidelity (HiFi) technology, has revolutionized modern genomics by producing long (10 + kb) and highly accurate reads. This is achieved by sequencing circularized DNA molecules multiple times and combining them into a consensus sequence. Currently, the accuracy and quality value estimation provided by HiFi technology are more than sufficient for applications such as genome assembly and germline variant calling. However, there are limitations in the accuracy of the estimated quality scores when it comes to somatic variant calling on single reads.

RESULTS

To address the challenge of inaccurate quality scores for somatic variant calling, we introduce TopoQual, a novel tool designed to enhance the accuracy of base quality predictions. TopoQual leverages techniques including partial order alignments (POA), topologically parallel bases, and deep learning algorithms to polish consensus sequences. Our results demonstrate that TopoQual corrects approximately 31.9% of errors in PacBio consensus sequences. Additionally, it validates base qualities up to q59, which corresponds to one error in 0.9 million bases. These improvements will significantly enhance the reliability of somatic variant calling using HiFi data.

CONCLUSION

TopoQual represents a significant advancement in genomics by improving the accuracy of base quality predictions for PacBio HiFi sequencing data. By correcting a substantial proportion of errors and achieving high base quality validation, TopoQual enables confident and accurate somatic variant calling. This tool not only addresses a critical limitation of current HiFi technology but also opens new possibilities for precise genomic analysis in various research and clinical applications.

Innovations in Transgene Integration Analysis: A Comprehensive Review of Enrichment and Sequencing Strategies in Biotechnology

Understanding the integration of transgene DNA (T-DNA) in transgenic crops, animals, and clinical applications is paramount for ensuring the stability and expression of inserted genes, which directly influence desired traits and therapeutic outcomes. Analyzing T-DNA integration patterns is essential for identifying potential unintended effects and evaluating the safety and environmental implications of genetically modified organisms (GMOs). This knowledge is crucial for regulatory compliance and fostering public trust in biotechnology by demonstrating transparency in genetic modifications. This review highlights recent advancements in T-DNA integration analysis, specifically focusing on targeted DNA enrichment and sequencing strategies. We examine key technologies, such as polymerase chain reaction (PCR)-based methods, hybridization capture, RNA/DNA-guided endonuclease-mediated enrichment, and high-throughput resequencing, emphasizing their contributions to enhancing precision and efficiency in transgene integration analysis. We discuss the principles, applications, and recent developments in these techniques, underscoring their critical role in advancing biotechnological products. Additionally, we address the existing challenges and future directions in the field, offering a comprehensive overview of how innovative DNA-targeted enrichment and sequencing strategies are reshaping biotechnology and genomics.

Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution

Spatial omics methods are extensions of traditional histological methods that can illuminate important biomedical mechanisms of physiology and disease by examining the distribution of biomolecules, including nucleic acids, proteins, lipids, and metabolites, at microscale resolution within tissues or individual cells. Since, for some applications, the desired resolution for spatial omics approaches the nanometer scale, classical tools have inherent limitations when applied to spatial omics analyses, and they can measure only a limited number of targets. Nanotechnology applications have been instrumental in overcoming these bottlenecks. When nanometer-level resolution is needed for spatial omics, super resolution microscopy or detection imaging techniques, such as mass spectrometer imaging, are required to generate precise spatial images of target expression. DNA nanostructures are widely used in spatial omics for purposes such as nucleic acid detection, signal amplification, and DNA barcoding for target molecule labeling, underscoring advances in spatial omics. Other properties of nanotechnologies include advanced spatial omics methods, such as microfluidic chips and DNA barcodes. In this review, we describe how nanotechnologies have been applied to the development of spatial transcriptomics, proteomics, metabolomics, epigenomics, and multiomics approaches. We focus on how nanotechnology supports improved resolution and throughput of spatial omics, surpassing traditional techniques. We also summarize future challenges and opportunities for the application of nanotechnology to spatial omics methods.

Structures of a DNA Polymerase Caught while Incorporating Responsive Dual-Functional Nucleotide Probes

Functionalizing nucleic acids using DNA polymerases is essential in biophysical and biotechnology applications. This study focuses on understanding how DNA polymerases recognize and incorporate nucleotides with diverse chemical modifications, aiming to develop advanced nucleotide probes. We present the crystal structures of ternary complexes of Thermus aquaticus DNA polymerase (KlenTaq) with C5-heterocycle-modified environment-sensitive 2'-deoxyuridine-5'-triphosphate (dUTP) probes. These nucleotides include SedUTP, BFdUTP and FBFdUTP, which bear selenophene, benzofuran and fluorobenzofuran, respectively, at the C5 position of uracil, and exhibit high conformational sensitivity. SedUTP and FBFdUTP serve as dual-app probes, combining a fluorophore with X-ray anomalous scattering Se or 19F NMR labels. Our study reveals that the size of the heterocycle influences how DNA polymerase families A and B incorporate these modified nucleotides during single nucleotide incorporation and primer extension reactions. Remarkably, the responsiveness of FBFdUTP enabled real-time monitoring of the binary complex formation and polymerase activity through fluorescence and 19F NMR spectroscopy. Comparative analysis of incorporation profiles, fluorescence, 19F NMR data, and crystal structures of ternary complexes highlights the plasticity of the enzyme. Key insight is provided into the role of gatekeeper amino acids (Arg660 and Arg587) in accommodating and processing these modified substrates, offering a structural basis for next-generation nucleotide probe development.

The master male sex determinant Gdf6Y of the turquoise killifish arose through allelic neofunctionalization

Although sex determination is a fundamental process in vertebrate development, it is very plastic. Diverse genes became major sex determinants in teleost fishes. Deciphering how individual sex-determining genes orchestrate sex determination can reveal new actors in sexual development. Here, we demonstrate that the Y-chromosomal copy of the TGF-β family member gdf6 (gdf6Y) in Nothobranchius furzeri, an emerging model organism in aging research, gained the function of the male sex determinant through allelic diversification while retaining the skeletal developmental function shared with the X-chromosomal gdf6 allele (gdf6X). Concerning sex determination, gdf6Y is expressed by somatic supporting cells of the developing testes. There it induces the male sex in a germ cell-independent manner in contrast to sex determination in zebrafish and the medaka. Looking for downstream effectors of Gdf6Y, we identified besides TGF-β signaling modulators, especially the inhibitor of DNA binding genes id1/2/3, the mRNA decay activator zfp36l2 as a new GDF6 signaling target.

Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy

The histone methyltransferase enhancer of zeste homolog 2 (EZH2) plays important roles in T-cell differentiation, proliferation, and function. Previous studies have demonstrated that genetic deletion of EZH2 in CD8+ or total T cells impairs their antiviral and antitumor activities, cytokine production, and ability to expand upon rechallenge. Contrary to the detrimental role of deleting T cell-intrinsic EZH2, in this study, we demonstrated that transient inhibition of EZH2 in T cells prior to the phenotypic onset of exhaustion with a clinically approved inhibitor, tazemetostat (Taz), delayed their dysfunctional progression and preserved T-cell stemness and polyfunctionality but had no negative impact on cell proliferation. Taz-induced T-cell epigenetic reprogramming increased the expression of the self-renewal T-cell transcription factor TCF1 by reducing H3K27 methylation at its promoter preferentially in rapidly dividing T cells. In a murine melanoma model, T cells depleted of EZH2 induced poor tumor control, whereas adoptively transferred T cells pretreated with Taz exhibited superior antitumor immunity, especially when used in combination with anti-PD-1 blockade. Collectively, these data highlight the potential of transient epigenetic reprogramming by EZH2 inhibition to enhance adoptive T-cell immunotherapy.

Tau mediates the reshaping of the transcriptional landscape toward intermediate Alzheimer's disease stages

Introduction

Recent research revealed that Tau plays critical roles in various neuronal functions. We previously demonstrated that destabilization and nuclear delocalization of Tau alter the expression of glutamatergic genes, mediating early neuronal damage.

Methods

In this study, we discovered that changes in Tau availability are linked to global alterations in gene expression that affect multiple neuronal pathways. Comparison with the human temporal region showed that the Tau-dependent modulation of gene expression closely resembles the intermediate stages of Alzheimer's disease (AD) that precede the definitive pathological condition.

Results

Furthermore, we identified the chromatin remodeling pathway as being significantly affected by Tau in both our cellular model and AD brains, with reductions in heterochromatin markers. Our findings indicate that Tau is able to globally affect the neuronal transcriptome and that its subcellular unbalance changes gene expression in the intermediate stages of AD development. In addition, we found that the chromatin architecture is affected by Tau during the progression of AD.

Discussion

These results provide new insights into the molecular mechanisms underlying early stages of AD development and highlight the central role of Tau and the contribution of nuclear Tau in this process.

Selective Photocatalytic C-H Oxidation of 5-Methylcytosine in DNA

Selective C-H activation on complex biological macromolecules is a key goal in the field of organic chemistry. It requires thermodynamically challenging chemical transformations to be delivered under mild, aqueous conditions. 5-Methylcytosine (5mC) is a fundamentally important epigenetic modification in DNA that has major implications for biology and has emerged as a vital biomarker. Selective functionalisation of 5mC would enable new chemical approaches to tag, detect and map DNA methylation to enhance the study and exploitation of this epigenetic feature. We demonstrate the first example of direct and selective chemical oxidation of 5mC to 5-formylcytosine (5fC) in DNA, employing a photocatalytic system. This transformation was used to selectively tag 5mC. We also provide proof-of-concept for deploying this chemistry for single-base resolution sequencing of 5mC and genetic bases adenine (A), cytosine (C), guanine (G), thymine (T) in DNA on a next-generation sequencing system. This work exemplifies how photocatalysis has the potential to transform the analysis of DNA.

Gene regulation by convergent promoters

Convergent transcription, that is, the collision of sense and antisense transcription, is ubiquitous in mammalian genomes and believed to diminish RNA expression. Recently, antisense transcription downstream of promoters was found to be surprisingly prevalent. However, functional characteristics of affected promoters are poorly investigated. Here we show that convergent transcription marks an unexpected positively co-regulated promoter constellation. By assessing transcriptional dynamic systems, we identified co-regulated constituent promoters connected through a distinct chromatin structure. Within these cis-regulatory domains, transcription factors can regulate both constituting promoters by binding to only one of them. Convergent promoters comprise about a quarter of all active transcript start sites and initiate 5'-overlapping antisense RNAs-an RNA class believed previously to be rare. Visualization of nascent RNA molecules reveals convergent cotranscription at these loci. Together, our results demonstrate that co-regulated convergent promoters substantially expand the cis-regulatory repertoire, reveal limitations of the transcription interference model and call for adjusting the promoter concept.

The Evolution of Next-Generation Sequencing Technologies

The genetic information that dictates the structure and function of all life forms is encoded in the DNA. In 1953, Watson and Crick first presented the double helical structure of a DNA molecule. Their findings unearthed the desire to elucidate the exact composition and sequence of DNA molecules. Discoveries and the subsequent development and optimization of techniques that allowed for deciphering the DNA sequence has opened new doors in research, biotech, and healthcare. The application of high-throughput sequencing technologies in these industries has positively impacted and will continue to contribute to the betterment of humanity and the global economy. Improvements, such as the use of radioactive molecules for DNA sequencing to the use of florescent dyes and the implementation of polymerase chain reaction (PCR) for amplification, led to sequencing a few hundred base pairs in days, to automation, where sequencing of thousands of base pairs in hours became possible. Significant advances have been made, but there is still room for improvement. Here, we look at the history and the technology of the currently available next-generation sequencing platforms and the possible applications of such technologies to biomedical research and beyond.

Strategic diagnosis- Unraveling Tuberculosis- A comprehensive approach

Tuberculosis, an airborne-infectious disease caused by Mycobacterium tuberculosis remains a perpetual threat globally. It claims over 1.4 million lives per year. Various diagnostic strategies including smear microscopy, culture methods, immunochromatographic assays and molecular methods have paved the way for tuberculosis diagnosis. The Government of India has introduced National Strategic Plan (NSP) for TB elimination, aiming to achieve a rapid decline in the incidence, morbidity, and mortality of TB by the year 2030. In its quest for TB elimination, the plan is structured around four strategic pillars: "Detect-Treat-Prevent-Build." To achieve these pillars and progress towards TB elimination, the government encourages adoption of novel point-of- care diagnostics techniques.

Hydra has mammal-like mutation rates facilitating fast adaptation despite its nonaging phenotype

Growing evidence suggests that somatic mutations may be a major cause of the aging process. However, it remains to be tested whether the predictions of the theory also apply to species with longer life spans than humans. Hydra is a genus of freshwater polyps with remarkable regeneration abilities and a potentially unlimited life span under laboratory conditions. By genome sequencing of single cells and whole animals, we found that the mutation rates in Hydra's stem cells are even slightly higher than in humans or mice. A potential explanation for this deviation from the prediction of the theory may lie in the adaptability offered by a higher mutation rate, as we were able to show that the genome of the widely studied Hydra magnipapillata strain 105 has undergone a process of strong positive selection since the strain's cultivation 50 years ago. This most likely represents a rapid adaptation to the drastically altered environmental conditions associated with the transition from the wild to laboratory conditions. Processes under positive selection in captive animals include pathways associated with Hydra's simple nervous system, its nucleic acid metabolic process, cell migration, and hydrolase activity.

Sequencing and Optical Genome Mapping for the Adventurous Chemist

This review provides a comprehensive overview of the chemistries and workflows of the sequencing methods that have been or are currently commercially available, providing a very brief historical introduction to each method. The main optical genome mapping approaches are introduced in the same manner, although only a subset of these are or have ever been commercially available. The review comes with a deck of slides containing all of the figures for ease of access and consultation.

From Tradition to Innovation: Diverse Molecular Techniques in the Fight Against Infectious Diseases

Infectious diseases impose a significant burden on global health systems due to high morbidity and mortality rates. According to the World Health Organization, millions die from infectious diseases annually, often due to delays in accurate diagnosis. Traditional diagnostic methods in clinical microbiology, primarily culture-based techniques, are time-consuming and may fail with hard-to-culture pathogens. Molecular biology advancements, notably the polymerase chain reaction (PCR), have revolutionized infectious disease diagnostics by allowing rapid and sensitive detection of pathogens' genetic material. PCR has become the gold standard for many infections, particularly highlighted during the COVID-19 pandemic. Following PCR, next-generation sequencing (NGS) has emerged, enabling comprehensive genomic analysis of pathogens, thus facilitating the detection of new strains and antibiotic resistance tracking. Innovative approaches like CRISPR technology are also enhancing diagnostic precision by identifying specific DNA/RNA sequences. However, the implementation of these methods faces challenges, particularly in low- and middle-income countries due to infrastructural and financial constraints. This review will explore the role of molecular diagnostic methods in infectious disease diagnosis, comparing their advantages and limitations, with a focus on PCR and NGS technologies and their future potential.

Enhancing novel isoform discovery: leveraging nanopore long-read sequencing and machine learning approaches

Long-read sequencing technologies can capture entire RNA transcripts in a single sequencing read, reducing the ambiguity in constructing and quantifying transcript models in comparison to more common and earlier methods, such as short-read sequencing. Recent improvements in the accuracy of long-read sequencing technologies have expanded the scope for novel splice isoform detection and have also enabled a far more accurate reconstruction of complex splicing patterns and transcriptomes. Additionally, the incorporation and advancements of machine learning and deep learning algorithms in bioinformatic software have significantly improved the reliability of long-read sequencing transcriptomic studies. However, there is a lack of consensus on what bioinformatic tools and pipelines produce the most precise and consistent results. Thus, this review aims to discuss and compare the performance of available methods for novel isoform discovery with long-read sequencing technologies, with 25 tools being presented. Furthermore, this review intends to demonstrate the need for developing standard analytical pipelines, tools, and transcript model conventions for novel isoform discovery and transcriptomic studies.

Remodeling of Il4-Il13-Il5 locus underlies selective gene expression

The type 2 cytokines, interleukin (IL)-4, IL-13 and IL-5 reside within a multigene cluster. Both innate (ILC2) and adaptive T helper 2 (TH2) lymphocytes secrete type 2 cytokines with diverse production spectra. Using transcription factor footprint and chromatin accessibility, we systemically cataloged regulatory elements (REs) denoted as SHS-I/II, KHS-I/II, +6.5kbIl13, 5HS-I(a, b, c, d, e), 5HS-II and 5HS-III(a, b, c) across the extended Il4-Il13-Il5 locus in mice. Physical proximities among REs were coordinately remodeled in three-dimensional space after cell activation, leading to divergent compartmentalization of Il4, Il13 and Il5 with varied combinations of REs. Deletions of REs revealed no single RE solely accounted for selective regulation of a given cytokine in vivo. Instead, individual RE differentially contribute to proper genomic positioning of REs and target genes. RE deletions resulted in context-dependent dysregulation of cytokine expression and immune response in tissue. Thus, signal-dependent remodeling of three-dimensional configuration underlies divergent cytokine outputs from the type 2 loci.

The application status of sequencing technology in global respiratory infectious disease diagnosis

Next-generation sequencing (NGS) has revolutionized clinical microbiology, particularly in diagnosing respiratory infectious diseases and conducting epidemiological investigations. This narrative review summarizes conventional methods for routine respiratory infection diagnosis, including culture, smear microscopy, immunological assays, image techniques as well as polymerase chain reaction(PCR). In contrast to conventional methods, there is a new detection technology, sequencing technology, and here we mainly focus on the next-generation sequencing NGS, especially metagenomic NGS(mNGS). NGS offers significant advantages over traditional methods. Firstly, mNGS eliminates assumptions about pathogens, leading to faster and more accurate results, thus reducing diagnostic time. Secondly, it allows unbiased identification of known and novel pathogens, offering broad-spectrum coverage. Thirdly, mNGS not only identifies pathogens but also characterizes microbiomes, analyzes human host responses, and detects resistance genes and virulence factors. It can complement targeted sequencing for bacterial and fungal classification. Unlike traditional methods affected by antibiotics, mNGS is less influenced due to the extended survival of pathogen DNA in plasma, broadening its applicability. However, barriers to full integration into clinical practice persist, primarily due to cost constraints and limitations in sensitivity and turnaround time. Despite these challenges, ongoing advancements aim to improve cost-effectiveness and efficiency, making NGS a cornerstone technology for global respiratory infection diagnosis.

Immune checkpoint expression on tumor-infiltrating lymphocytes (TIL) is dependent on HPV status in oropharyngeal carcinoma (OPSCC) - A single-cell RNA sequencing analysis

INTRODUCTION

A substantial proportion of head and neck squamous cell carcinoma (HNSCC), particularly oropharyngeal squamous cell carcinoma (OPSCC), is associated with human papillomavirus (HPV), resulting in distinct molecular phenotypes. In this study, we investigated differential immune checkpoint molecule (ICM) expression by HPV status using RNA sequencing data to identify additional ICM targets that may complement anti-PD1 antibodies.

MATERIAL AND METHODS

RNA sequencing was performed on 51 OPSCC cases and validated using the TCGA HNSCC dataset. Unsupervised clustering and differential gene expression analyses in R were conducted based on HPV status. Additionally, a published single-cell RNA sequencing (scRNA) dataset of tumor-infiltrating lymphocytes (TIL) and peripheral immune cells (PBMC) (GSE139324) was analyzed with a Seurat pipeline grouped by HPV status.

RESULTS

Our study identified a significant upregulation of all examined ICM in HPV-positive OPSCC through bulk RNA sequencing, validated by the TCGA cohort. Unsupervised clustering revealed a strong association between HPV-positive/-negative and high/low ICM expression cases respectively, indicating overlap between ICM and HPV status. In scRNA analysis, CD27, PD-1, OX-40, and BTLA were significantly more highly expressed on TILs of HPV-positive OPSCC. Conversely, VSIR was increased in PBMC and TILs of HPV-negative OPSCC, while LAG3 expression on PBMC was reduced in HPV-negative OPSCC.

CONCLUSION

Our study unveils the intricate interplay of ICMs in OPSCC, emphasizing the necessity for personalized therapeutic approaches based on HPV status and immune profiles. The identified ICMs, including PD1, CD27, and CTLA4, are promising candidates for further investigation and may enhance immunotherapeutic interventions in the HPV-dependent treatment strategies for OPSCC.

Epigenetic landscape of 5-hydroxymethylcytosine and associations with gene expression in placenta

5-hydroxymethylcystosine (5hmC), is an intermediate product in the DNA demethylation pathway, but may act as a functional epigenetic modification. We have conducted the largest study of site-specific 5hmC in placenta to date using parallel bisulphite and oxidative bisulphite modification with array-based assessment. Incorporating parallel RNA-sequencing data allowed us to assess associations between 5hmC and gene expression, using expression quantitative trait hydroxymethylation (eQTHM) analysis. We identified ~ 47,000 loci with consistently elevated (systematic) 5hmC proportions. Systematic 5hmC was significantly depleted (p < 0.0001) at CpG islands (CGI), and enriched (p < 0.0001) in 'open sea' regions (CpG >4 kb from CGI). 5hmC was most and least abundant at CpGs in enhancers and active transcription start sites (TSS), respectively (p < 0.05). We identified 499 significant (empirical-p <0.05) eQTHMs within 1 MB of the assayed gene. At most (75.4%) eQTHMs, the proportion of 5hmC was positively correlated with transcript abundance. eQTHMs were significantly enriched among enhancer CpGs and depleted among CpGs in active TSS (p < 0.05 for both). Finally, we identified 107 differentially hydroxymethylated regions (DHMRs, p < 0.05) across 100 genes. Our study provides insight into placental distribution of 5hmC, and sheds light on the functional capacity of this epigenetic modification in placenta.

Application of metagenomic next-generation sequencing in the diagnosis of infectious diseases

Metagenomic next-generation sequencing (mNGS) is a transformative approach in the diagnosis of infectious diseases, utilizing unbiased high-throughput sequencing to directly detect and characterize microbial genomes from clinical samples. This review comprehensively outlines the fundamental principles, sequencing workflow, and platforms utilized in mNGS technology. The methodological backbone involves shotgun sequencing of total nucleic acids extracted from diverse sample types, enabling simultaneous detection of bacteria, viruses, fungi, and parasites without prior knowledge of the infectious agent. Key advantages of mNGS include its capability to identify rare, novel, or unculturable pathogens, providing a more comprehensive view of microbial communities compared to traditional culture-based methods. Despite these strengths, challenges such as data analysis complexity, high cost, and the need for optimized sample preparation protocols remain significant hurdles. The application of mNGS across various systemic infections highlights its clinical utility. Case studies discussed in this review illustrate its efficacy in diagnosing respiratory tract infections, bloodstream infections, central nervous system infections, gastrointestinal infections, and others. By rapidly identifying pathogens and their genomic characteristics, mNGS facilitates timely and targeted therapeutic interventions, thereby improving patient outcomes and infection control measures. Looking ahead, the future of mNGS in infectious disease diagnostics appears promising. Advances in bioinformatics tools and sequencing technologies are anticipated to streamline data analysis, enhance sensitivity and specificity, and reduce turnaround times. Integration with clinical decision support systems promises to further optimize mNGS utilization in routine clinical practice. In conclusion, mNGS represents a paradigm shift in the field of infectious disease diagnostics, offering unparalleled insights into microbial diversity and pathogenesis. While challenges persist, ongoing technological advancements hold immense potential to consolidate mNGS as a pivotal tool in the armamentarium of modern medicine, empowering clinicians with precise, rapid, and comprehensive pathogen detection capabilities.

Advancing pathogen and tumor copy number variation detection through simultaneous metagenomic next-generation sequencing: A comprehensive review

In clinical practice, timely and accurate diagnosis can effectively reduce unnecessary treatment, avoid high medical costs, and prevent adverse prognoses. However, some patients with malignant tumors and those with infection often exhibit similar symptoms, which are difficult to distinguish, posing challenges in accurate clinical diagnosis. Metagenomic next-generation sequencing (mNGS) technology has been widely applied to confirm the source of infection. Recent studies have shown that for pathogen detection, mNGS technology can be used to perform chromosomal copy number variations (CNVs) analysis in two different analytical pipelines using the same wet test. mNGS technology has further demonstrated its utility in not only the determination of pathogenic microorganisms but also of CNVs, thereby facilitating early differential diagnosis for malignant tumors. In this review, we aim to analyze the diagnostic performance of mNGS technology in the simultaneous detection of pathogenic microorganisms and CNVs in current clinical practice and discuss the advantages and limitations of mNGS-CNV dual-omics detection technology. Our review highlights the need for more large-scale prospective research data on current mNGS-CNV dual-omics detection technology to provide more evidence-based results for researchers and clinicians and to promote the greater role of this technology in future clinical practice.

A mapping-free natural language processing-based technique for sequence search in nanopore long-reads

BACKGROUND

In unforeseen situations, such as nuclear power plant's or civilian radiation accidents, there is a need for effective and computationally inexpensive methods to determine the expression level of a selected gene panel, allowing for rough dose estimates in thousands of donors. The new generation in-situ mapper, fast and of low energy consumption, working at the level of single nanopore output, is in demand. We aim to create a sequence identification tool that utilizes natural language processing techniques and ensures a high level of negative predictive value (NPV) compared to the classical approach.

RESULTS

The training dataset consisted of RNA sequencing data from 6 samples. Multiple natural language processing models were examined, differing in the type of dictionary components (word length, step, context) as well as the encoding length and number of sequences required for algorithm training. The best configuration analyses the entire sequence and uses a word length of 3 base pairs with one-word neighbor on each side. For the considered FDXR gene, the achieved mean balanced accuracy (BACC) was 98.29% and NPV was 99.25%, compared to minimap2's performance in a cross-validation scenario. The next stage focused on exploring the dictionary components and attempting to optimize it, employing statistical techniques as well as those relying on the explainability of the decisions made. Reducing the dictionary from 1024 to 145 changed BACC to 96.49% and the NPV to 98.15%. Obtained model, validated on an external independent genome sequencing dataset, gave NPV of 99.64% for complete and 95.87% for reduced dictionary. The salmon-estimated read counts differed from the classical approach on average by 3.48% for the complete dictionary and by 5.82% for the reduced one.

CONCLUSIONS

We conclude that for long Oxford nanopore reads, a natural language processing-based approach can reliably replace classical mapping when there is a need for fast, reliable and energy and computationally efficient targeted mapping of a pre-defined subset of transcripts. The developed model can be easily retrained to identify selected transcripts and/or work with various long-read sequencing techniques. Our results of the study clearly demonstrate the potential of applying techniques known from classical text processing to nucleotide sequences.

Optimization of Whole-Genome Resequencing Depth for High-Throughput SNP Genotyping in Litopenaeus vannamei

The application of whole-genome resequencing in genetic research is rapidly expanding, yet the impact of sequencing depth on data quality and variant detection remains unclear, particularly in aquaculture species. This study re-sequenced 31 Litopenaeus vannamei (L. vannamei) samples at over 28× sequencing depth using the Illumina NovaSeq system and down-sampled the data to simulate depths from 0.5× to 20×. Results showed that when the sequencing depth was below 10×, the number of SNP identifications increased sharply with the rise in depth, with single nucleotide polymorphisms (SNPs) detected at 10× accounting for approximately 69.16% of those detected at 20×. The genotyping accuracy followed a similar trend to SNP detection results, being approximately 0.90 at 6×. Further analyses showed that the main cause of genotyping errors was the misidentification of heterozygous variants as homozygous variants. Therefore, considering both the quantity and quality of SNPs, a sequencing depth of 10× is recommended for whole-genome studies and genetic mapping, while a depth of 6× is more cost-effective for population structure analysis. This study underscores the importance of selecting optimal sequencing depth to ensure reliable variant detection and high data quality, providing valuable guidance for whole-genome resequencing in shrimp and other aquatic species.

Highly accurate single-color fluorogenic DNA decoding sequencing for mutational genotyping

We proposed a single-color fluorogenic DNA decoding sequencing method designed to improve sequencing accuracy, increase read length and throughput, as well as decrease scanning time. This method involves the incorporation of a mixture of four types of 3'-O-modified nucleotide reversible terminators into each reaction. Among them, two nucleotides are labeled with the same fluorophore, while the remaining two are unlabeled. Only one nucleotide can be extended in each reaction, and an encoding that partially defines base composition can be obtained. Through cyclic interrogation of a template twice with different nucleotide combinations, two sets of encodings are sequentially obtained, enabling the determination of the sequence. We demonstrate the feasibility of this method using established sequencing chemistry, achieving a cycle efficiency of approximately 99.5 %. Notably, this strategy exhibits remarkable efficacy in the detection and correction of sequencing errors, achieving a theoretical error rate of 0.00016 % at a sequencing depth of ×2, which is lower than Sanger sequencing. This method is theoretically compatible with the existing sequencing-by-synthesis (SBS) platforms, and the instrument is simpler, which may facilitate further reductions in sequencing costs, thereby broadening its applications in biology and medicine. Moreover, we demonstrate the capability to detect known mutation sites using information from only a single sequencing run. We validate this approach by accurately identifying a mutation site in the human mitochondrial DNA.

Comparative Transcriptome Analysis of Cold Tolerance Mechanism in Honeybees (Apis mellifera sinisxinyuan)

Honeybees are important pollinators worldwide that are closely related to agricultural production and ecological balance. The biological activities and geographical distribution of honeybees are strongly influenced by temperature. However, there is not much research on the cold tolerance of honeybees. The Apis mellifera sinisxinyuan, a kind of western honeybee, exhibits strong cold hardiness. Here, we determined that short-term temperature treatment could regulate the honeybee's cold tolerance ability by measuring the supercooling point of A. m. sinisxinyuan treated with different temperatures. Transcriptome data were analyzed between the treated and untreated honeybees. A total of 189 differentially expressed genes were identified. Among them, Abra, Pla1, rGC, Hr38, and Maf were differentially expressed in all comparisons. GO and KEGG analysis showed that the DEGs were enriched in molecular functions related to disease, signal transduction, metabolism, and the endocrine system's function. The main components involved were ribosomes, nucleosomes, proteases, and phosphokinases, among others. This study explored the formation and regulation mechanism of cold tolerance in honeybees, not only providing a theoretical basis for cultivating honeybees with excellent traits but also promoting research and practice on insect stress tolerance.